Study name | Zheng P 2016b |
Title | Identification of sex-specific urinary biomarkers for major depressive disorder by combined application of NMR- and GC-MS-based metabonomics |
Overall design | Here we combined gas chromatography-mass spectrometry (GC-MS)- and nuclear magnetic resonance (NMR)-based metabonomics to investigate sex differences of urinary metabolite markers in major depressive disorder (MDD), and further explore their potential of diagnosing MDD. The women cohort included 43 first-episode drug-naive MDD patients (depressed women group) and 48 HCs (control women group). The men cohort included 50 first-episode drug-naive MDD (depressed men group) patients and 75 HC (control men group). |
Type1; | |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Depression; Depression; |
Criteria for depression | DSM-IV diagnosed MDD, HAMD-17 > 17 |
Sample size | 247 |
Tissue | Peripheral; Urine; Urine; |
Platform | NMR; NMR: Bruker AVANCE II 600 spectrometer (Rheinstetten, Germany); MS-based; GC-MS: Agilent 7980 GC system with Agilent 5975 mass selective detector (Agilent Technologies Inc., USA); |
PMID | |
DOI | |
Citation | Zheng P, Chen JJ, Zhou CJ, et al. Identification of sex-specific urinary biomarkers for major depressive disorder by combined application of NMR- and GC-MS-based metabonomics. Transl Psychiatry 2016;6(11):e955. |
Metabolite |